Modeling and Operational Optimization Methods for District Heat-electricity Systems Based on Graph Computing

被引：0
|
作者：
Han H. [1 ]
Zhang P. [1 ]
Chai B. [2 ]
Liu X. [1 ]
Gao K. [2 ]
机构：
[1] Key Laboratory of Control of Power Transmission and Conversion of Ministry of Education, Shanghai Jiao Tong University, Minhang District, Shanghai
[2] Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory, Global Energy Interconnection Research Institute Co. Ltd., Changping District, Beijing
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2022年 / 42卷 / 19期
关键词：
alternating direction method of multipliers; district heat-electricity system; graph computing; graph model; operational optimization;
D O I：
10.13334/j.0258-8013.pcsee.211635
中图分类号：
学科分类号：
摘要：
In order to coordinate and optimize the whole energy supply chain, it is necessary to perform joint modeling and collaborative computing on large-scale multi-energy systems. Therefore, a graph model of multi-energy system with "energy flow as the edge" was proposed in this paper, which can completely represent multi-energy network and multi-energy coupling equipment, using the graph database to support data management of large-scale energy networks. On the basis of the proposed graph model, according to the vertex-centric calculation mode, a graph computing method for district heat-electricity system (DHES) joint optimization was derived and established. Under the above framework, the modeling of the heating network under different regulating modes was completed, and the accuracy as well as versatility of the method was verified. Finally, the operation optimization of DHESs of different scales was completed under the multi-core cloud computing platform, and compared with the centralized optimization, which verified the outstanding scalability of the proposed method. ©2022 Chin.Soc.for Elec.Eng.
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页码：7113 / 7125
页数：12
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